Concurrent validity and test-retest reliability of the Virtual Peg Insertion Test to quantify upper limb function in patients with chronic stroke

Journal of NeuroEngineering and Rehabilitation

Volumn 13, Issue 1, 2016, Pages

  Tobler Ammann, Bernadette C ^a,b   De Bruin, Eling D ^b,c   Fluet, Marie Christine ^c   Lambercy, Olivier ^c   De Bie, Rob A ^b   Knols, Ruud H ^a  

^a UNIVERSITY HOSPITAL ZURICH   (Switzerland)

^b MAASTRICHT UNIVERSITY   (Netherlands)

^c ETH ZURICH   (Switzerland)

Author keywords

Concurrent validity; Stroke; Test retest reliability; Upper limb function; Virtual Peg Insertion Test

Indexed keywords

ADULT; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; CONCURRENT VALIDITY; CONTROLLED STUDY; FEMALE; FUNCTIONAL ASSESSMENT; GRIP STRENGTH; HAND FUNCTION; HUMAN; KINEMATICS; MALE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REHABILITATION CARE; TACTILE FEEDBACK; TASK PERFORMANCE; TEST RETEST RELIABILITY; VIRTUAL PEG INSERTION TEST; VIRTUAL REALITY; AGED; BIOMECHANICS; CHRONIC DISEASE; COMPUTER INTERFACE; MIDDLE AGED; OCCUPATIONAL THERAPY; PATHOPHYSIOLOGY; PHYSIOTHERAPY; PROCEDURES; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY; STROKE REHABILITATION; TREATMENT OUTCOME; UPPER LIMB;

AGED; BIOMECHANICAL PHENOMENA; CHRONIC DISEASE; FEMALE; HUMANS; MALE; MIDDLE AGED; OCCUPATIONAL THERAPY; PHYSICAL THERAPY MODALITIES; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS; STROKE; STROKE REHABILITATION; TREATMENT OUTCOME; UPPER EXTREMITY; USER-COMPUTER INTERFACE;

EID: 84960375798     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/s12984-016-0116-y     Document Type: Article

References (54)

1. Lundborg G. The Hand and the Brain. From Lucy's thumb to the tought-controlled robotic hand. London: Springer; 2014.
2. Johansson BB. Current trends in stroke rehabilitation. A review with focus on brain plasticity. Acta Neurol Scand. 2011;123(3):147-59.
3. Fluet GG, Deutsch JE. Virtual reality for sensorimotor rehabilitation post-stroke: the promise and current state of the field. Curr Phys Med Rehabil Rep. 2013;1(1):9-20.
4. Lin KC, Chuang LL, Wu CY, Hsieh YW, Chang WY. Responsiveness and validity of three dexterous function measures in stroke rehabilitation. J Rehabil Res Dev. 2010;47(6):563-71.
5. Mathiowetz V, Volland G, Kashman N, Weber K. Adult norms for the Box and Block Test of manual dexterity. Am J Occup Ther. 1985;39(6):386-91.
6. Mathiowetz V, Weber K, Kashman N, Volland G. Adult norms for the Nine Hole Peg Test of finger dexterity. Occup Ther J Res. 1985;5:24-38.
7. Oxford Grice K, Vogel KA, Le V, Mitchell A, Muniz S, Vollmer MA. Adult norms for a commercially available Nine Hole Peg Test for finger dexterity. Am J Occup Ther. 2003;57(5):570-3.
8. Laver KE, George S, Thomas S, Deutsch JE, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2011;9:CD008349.
9. Brewer L, Horgan F, Hickey A, Williams D. Stroke rehabilitation: recent advances and future therapies. QJM. 2013;106(1):11-25.
10. Yeh SC, Lee SH, Chan RC, Chen S, Rizzo A. A virtual reality system integrated with robot-assisted haptics to simulate pinch-grip task: Motor ingredients for the assessment in chronic stroke. NeuroRehabilitation. 2014;35:435-49.
11. Fordell H, Bodin K, Bucht G, Malm J. A virtual reality test battery for assessment and screening of spatial neglect. Acta Neurol Scand. 2011;123(3):167-74.
12. Lee JH, Ku J, Cho W, Hahn WY, Kim IY, Lee SM, et al. A virtual reality system for the assessment and rehabilitation of the activities of daily living. Cyberpsychol Behav. 2003;6(4):383-8.
13. Amirabdollahian F, Johnson G. Analysis of the results from use of haptic peg-in-hole task for assessment in neurorehabilitation. Appl Bionics Biomechanics. 2011;8(1):1-11.
14. Bardorfer A, Munih M, Zupan A, Primozic A. Upper limb motion analysis using haptic interface. IEEE ASME Trans Mechatron. 2001;6(3):253-60.
15. Feys P, Alders G, Gijbels D, De Boeck J, De Weyer T, Coninx K, et al. Arm training in multiple sclerosis using phantom: Clinical relevance of robotic outcome measures. In: IEEE International Conference on Rehabilitation Robotics. 2009. p. 576-81.
16. Xydas E, Louca L. Upper limb assessment of people with multiple sclerosis with the use of a haptic nine hole peg-board test. In: Proceedings of the 9th biennal Conference on Engineering Systems Design and Analysis. 2009. p. 159-66.
17. Fluet M-C, Lambercy O, Gassert R. Upper limb assessment using a virtual peg insertion test. In: Proc IEEE International Conference on Rehabilitation Robotics (ICORR); Switzerland, Zurich. 2011. p. 1-6.
18. Lambercy O, Fluet MC, Lamers I, Kerkhofs L, Feys P, Gassert R. Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: a pilot study. IEEE Int Conf Rehabil Robot. 2013;2013:6650494.
19. Gagnon C, Lavoie C, Lessard I, Mathieu J, Brais B, Bouchard JP, et al. The Virtual Peg Insertion Test as an assessment of upper limb coordination in ARSACS patients: a pilot study. J Neurol Sci. 2014;347(1-2):341-4.
20. Nordin N, Xie SQ, Wunsche B. Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review. J Neuroeng Rehabil. 2014;11:137.
21. Kim H, Miller LM, Fedulow I, Simkins M, Abrams GM, Byl N, et al. Kinematic data analysis for post-stroke patients following bilateral versus unilateral rehabilitation with an upper limb wearable robotic system. IEEE Trans Neural Syst Rehabil Eng. 2013;21(2):153-64.
22. Panarese A, Colombo R, Sterpi I, Pisano F, Micera S. Tracking motor improvement at the subtask level during robot-aided neurorehabilitation of stroke patients. Neurorehabil Neural Repair. 2012;26(7):822-33.
23. Rohrer B, Fasoli S, Krebs HI, Hughes R, Volpe B, Frontera WR, et al. Movement smoothness changes during stroke recovery. J Neurosci. 2002;22(18):8297-304.
24. Milner TE. A model for the generation of movements requiring endpoint precision. Neuroscience. 1992;49(2):487-96.
25. Chen HM, Chen CC, Hsueh IP, Huang SL, Hsieh CL. Test-retest reproducibility and smallest real difference of 5 hand function tests in patients with stroke. Neurorehabil Neural Repair. 2009;23(5):435-40.
26. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-98.
27. Lang JI. Ein neuer Stereotest. Klin Mbl Augenheilk. 1983;182:373-5.
28. Brown S, Weih L, Mukesh N, McCarty C, Taylor H. Assessment of adult stereopsis using the Lang 1 Stereotest: a pilot study. Binocul Vis Strabismus Q. 2001;16(2):91-8.
29. Schädler S, Kool J, Lüthi H, Marks D, Oesch P, Pfeffer A, et al., editors. Assessments in der Rehabilitation. 3rd ed. Bern: Verlag Hans Huber; 2011.
30. Mathiowetz V, Weber K, Volland G, Kashman N. Reliability and validity of grip and pinch strength evaluations. J Hand Surg Am. 1984;9(2):222-6.
31. Norman GR, Streiner DL, editors. Biostatistics: The bare essentials. 3rd ed. USA: People's Medical Publishing House; 2008.
32. Munro BH. Statistical methods for health care research. 5th ed. Philadelphia: Lippincott Williams & Wilkins; 2005.
33. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-74.
34. Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. 2005;19(1):231-40.
35. Shrout PE, Fleiss JL. Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin. 1979;86:420-8.
36. de Vet HC, Terwee CB, Knol DL, Bouter LM. When to use agreement versus reliability measures. J Clin Epidemiol. 2006;59(10):1033-9.
37. Arnall FA, Koumantakis GA, Oldham JA, Cooper RG. Between-days reliability of electromyographic measures of paraspinal muscle fatigue at 40, 50 and 60 % levels of maximal voluntary contractile force. Clin Rehabil. 2002;16(7):761-71.
38. Denegar CR, Ball DW. Assessing reliability and precision of measurement: an introduction to lntraclass correlation and standard error of measurement. J Sport Rehabil. 1993;2(1):35-42.
39. Rankin G, Stokes M. Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses. Clin Rehabil. 1998;12(3):187-99.
40. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476):307-10.
41. Bland JM, Altman DG. Applying the right statistics: analyses of measurement studies. Ultrasound Obstet Gynecol. 2003;22(1):85-93.
42. Liaw LJ, Hsieh CL, Lo SK, Chen HM, Lee S, Lin JH. The relative and absolute reliability of two balance performance measures in chronic stroke patients. Disabil Rehabil. 2008;30(9):656-61.
43. Brehm MA, Scholtes VA, Dallmeijer AJ, Twisk JW, Harlaar J. The importance of addressing heteroscedasticity in the reliability analysis of ratio-scaled variables: an example based on walking energy-cost measurements. Dev Med Child Neurol. 2012;54(3):267-73.
44. Bland JM, Altman DG. Transforming data. BMJ. 1996;312(7033):770.
45. Euser AM, Dekker FW, le Cessie S. A practical approach to Bland-Altman plots and variation coefficients for log transformed variables. J Clin Epidemiol. 2008;61(10):978-82.
46. Aaronson N, Alonso J, Burnam A, Lohr KN, Patrick DL, Perrin E, et al. Assessing health status and quality-of-life instruments: attributes and review criteria. Qual Life Res. 2002;11(3):193-205.
47. Bowler M, Amirabdollahian F, Dautenhahn K. Using an embedded reality approach to improve test reliability for NHPT tasks. IEEE Int Conf Rehabil Robot. 2011;2011:5975343.
48. Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34-42.
49. Zou GY. Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Stat Med. 2012;31(29):3972-81.
50. Jette AM, Tao W, Norweg A, Haley S. Interpreting rehabilitation outcome measurements. J Rehabil Med. 2007;39:585-90.
51. Schmidheiny A, Swanenburg J, Straumann D, de Bruin ED, Knols RH. Discriminant validity and test re-test reproducibility of a gait assessment in patients with vestibular dysfunction. BMC Ear Nose Throat Disord. 2015;15:6.
52. Information Brochure Armon Elemento. [ http://www.armonproducts.com/images/Information-Brochure-Armon-Elemento.pdf ].
53. Altman DG. Practical statistics for medical research, [First CRC Press repr.] edn: Boca Raton: Chapman & Hall/CRC; 1999.
54. Pollock A, Farmer SE, Brady MC, Langhorne P, Mead GE, Mehrholz J, et al. Interventions for improving upper limb function after stroke. Cochrane Database Syst Rev. 2014;11:Cd010820.